Data assimilation techniques have become critical tools for merging observational data with numerical models, thereby enhancing the accuracy and reliability of geoscientific forecasts. These methods ...
In this study a data assimilation system will be developed and validated to optimize a forest vegetation model with big data of ecological observations. This study will participate to appropriate ...
A novel particle filter based on a neural network for the analysis of volatile time series data. This paper proposed a novel particle filter to fit structural time series models to volatile time ...
ABSTRACT To accommodate accurate analyses and forecasts of a heavy rainfall event over the Korean Peninsula, the authors assimilated the GPS radio occultation (RO) data by using the Weather Research ...
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